Technology Delivery Consultancy

What built your team to 50 engineers won't scale it to 200.

At some point in the growth curve, something breaks. Delivery slows despite growing headcount. Coordination overhead explodes. The CEO hears "we need more engineers" and suspects the real problem is organisational. We find out which it is — independently, in four weeks.

The pattern we find most often
6 weeks

From kickoff to findings — without disrupting the engineering team

60 days

From diagnostic findings to full organisational restructure in a recent client engagement

Upstream

In a recent scaling-stage engagement most isssues traced back upstream of engineering

When companies come to us

The moment that sends leaders looking for answers

Scaling-stage leaders typically come when one of four issues arise. Each produces different questions but often reveal the same underlying need: an independent view of delivery and clarity on where the constraint actually sits.

the trigger
"The roadmap keeps slipping and I can't get a straight answer on why. We've grown the team — delivery has got worse, not better."
What we assess
Where capacity is actually going — strategic vs. reactive vs. rework
Product management effectiveness as a demand filter into engineering
Strategic clarity: whether teams know what success looks like
Cross-functional dependencies and handoff friction
Engineering team structure against the delivery model
What you get
Clear picture of whether the constraint is engineering, product, or organisational
Delivery metrics benchmarked against comparable businesses at your stage
Specific interventions mapped to the actual constraint — not a generic playbook
Board-ready output that answers the questions the CTO and CEO are being asked
the trigger
"We've invested heavily in AI tooling. Engineers are using it. I can't see the productivity improvement — and the board is starting to ask."
What we assess
Delivery baseline before and after AI tool adoption
Where AI tools are used vs. where they were expected to drive value
Whether the productivity constraint is tooling, process, or organisational — AI can't fix the latter two
Adoption barriers limiting realised value across the team
What you get
Honest assessment of AI productivity realisation against investment
Identification of where the constraint sits — tooling, workflow, or something upstream
Benchmarks showing how comparable businesses are using AI at this stage
Evidence base for the board conversation about AI ROI
the trigger
"The board and investors want data on engineering performance — not the CTO's confidence. We need an independent view we can put in front of them."
What we assess
Engineering delivery performance benchmarked against peer-stage businesses
Technology risk profile — debt, architecture, key-person dependency
Engineering team scalability against the growth plan
Alignment of engineering capacity to strategic priorities
What you get
Board-ready engineering performance narrative backed by independent data
Identified technology risks surfaced before investors find them in diligence
Clear view of engineering capacity and scalability headroom
Independent validation of the CTO's own assessment
the trigger
"I need to know if this is an engineering problem before I make a leadership decision. The worst outcome is making a change and inheriting the same broken system."
What we assess
Engineering delivery performance independent of the CTO's self-assessment
Whether delivery problems originate inside or outside engineering
Engineering team health and capability independent of leadership style
Organisational factors that would affect any engineering leader in this role
What you get
Evidence base to distinguish a people problem from a system problem
Independent view of engineering performance that removes political bias
Clear picture of what any incoming leader would be walking into
Basis for a constructive conversation with the current CTO, whatever the outcome
How we work

4 to 8 weeks. Light-touch for the team. Board-ready output for leadership.

We work from your existing tools — we're not dependent on any one platform. We bring the methodology, the investigative framework, and the expertise. You provide access.

01
Scoping & context

We start by understanding the strategic context. What is the business is trying to achieve? Where do leaders believe the constraint is? What questions needs to be answered?

Week 1
02
Data extraction & benchmarking

We review your engineering and project management tools to extract and understand delivery metrics. We're tool-agnostic and can use the tools you have. Our diagnostic works regardless of your stack.

Week 1-2
DX
LinearB
Swarmia
Pluralsight
Jellyfish
GitHub
Jira
Azure DevOps
03
Interviews & analysis

Structured conversations or surveys with engineering, product, leadership, and the wider organisation to understand the precieved issued and validate opinion against the data. This surfaces the narratives the data alone can't.

Weeks 2–3
04
Insight & action

We combine quantitative metrics with qualitative insight to produce insight and recommendations that are specific, evidenced, and actionable. What's wrong, why, what can you do about it, and when?

Week 4
USE CASES PER LEADER

Same diagnostic. Different questions answered.

We typically work with the CTO, CEO, and VP Engineering in combination. Each has a different relationship to the findings.

What we hear
"I built this team from 20 engineers. At 80, the same approaches are not producing the same results. And I can see it's not all an engineering problem, but I can't see the whole system from the inside."

The diagnostic gives you independent objective data and insight on where the issues are both inside and outside engineering.

What they're navigating

Delivery has got slower despite growing the team. Coordination overhead has exploded. The CTO is spending more time managing escalations than leading engineering. They know some problems originate upstream — but can't prove it.

What they get from the diagnostic

An independent, credible view of performance that includes the full picture — not just engineering. If the constraint is upstream, the diagnostic surfaces it.

How we help

"We give you the full picture — including what's outside your control. Most delivery problems aren't purely engineering problems. Our diagnostic looks at the whole system."

What typically triggers the engagement
Delivery has measurably slowed despite headcount growth
CEO or board is asking questions about engineering performance the CTO can't answer objectively
AI tools have been adopted but aren't showing up in delivery outcome
A major initiative has missed commitments and the root cause isn't clear
The CTO wants an independent baseline before making structural changes
WHAT WE HEAR
"Engineering is my biggest cost line and I can't tell the board what we're getting for it. I need an independent view — not another self-assessment."

We give you objective visibility of performance and the insight of lever to pull and when.

What they're navigating

The roadmap keeps slipping and the CEO doesn't know whether it's an engineering problem, a product management problem, or a prioritisation problem. They need a view they can trust and act on.

What they get from the diagnostic

Clarity on where the constraint actually sits — and the evidence to act on it. Board-ready evidence that answers the questions being asked about engineering spend and delivery performance.

HOW WE HELP

"We give you an evidence-based view of engineering health — but critically, we also look at what's feeding into engineering. Most delivery problems aren't engineering problems."

What typically triggers the engagement
Board asks about engineering ROI or delivery capacity and the CEO can't answer with data
Roadmap misses have become a pattern — eroding trust between CEO and CTO
Preparing for a fundraise and needs to evidence engineering capability to investors
Considering a CTO change but wants independent evidence before acting
AI spend is growing with no visible impact on delivery performance
WHAT WE HEAR
"I know what's broken. What I need is evidence that carries weight at the leadership table because my opinion alone isn't enough."

We surface the problems you typically see but we go wider to ensure external credibility to get the organisation to act on what you already know.

What they're navigating

You feel the scaling pain every day — coordination overhead, manager spans too wide, new hires not ramping fast enough. You've raised the issues internally but can't get traction without data.

What they get from the diagnostic

Ammunition. An independent diagnostic that shows the CTO and CEO what the VP Engineering is seeing. We give you benchmarks, cross-company context, and the credibility of an external view.

How WE HELP

"We give you the evidence base for changes you already know are needed. The diagnostic shows leadership what you're seeing — but with benchmarks and external credibility."

What typically triggers the engagement
Has been raising delivery problems internally but can't get traction without independent data
Knows specific process or structural changes are needed but can't push them through unilaterally
CTO has asked them to build a business case for organisational changes
Has tried internal measurement approaches that haven't produced credible or actionable output
Client work

What the Delivery 360 finds

A representative engagement — where the real constraint turned out to be upstream of engineering entirely.

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Start with a conversation

A 30-minute call is usually enough to know whether a Delivery 360 would be useful — and what it would look at in your specific situation. No commitment.

Book a Discovery Call